The role of locomotion in the acquisition and transfer of spatial knowledge in children

The role of locomotion in the acquisition and transfer of spatial knowledge was investigated in 144 five-, seven- and eleven-year-old children. Two experiments were conducted in the Kiel locomotor maze. In the first experiment, one group of children explored the spatial layout by walking through the maze, while another learned the maze by surveying the layout. In the second experiment, children were exposed to one of two orientation tests in the maze, one of which could be solved using "landmark orientation", the other only using a "relational place orientation". Children sitting by the side of the experimental chamber surveying the maze needed fewer trials to learn the spatial layout than children exploring the environment in the locomotion condition, but in the orientation test demanding the "relational place orientation" children who had explored the maze in the locomotion condition outperformed the children in the non-locomotion condition. Results are discussed in the context of cognitive mapping models.     

How Does Neurobiological Research Influence Psychoanalytic Treatments?—Clinical Observations and Reflections From a Study on the Interface of Clinical Psychoanalysis and Neuroscience

One of the counterarguments against empirical research in psychoanalysis is that research negatively influences the treatment situation. In this paper, the impact of a neurobiological study on psychoanalytically oriented treatments is presented from three different perspectives: patients' views, a study group of participating psychoanalysts and a clinical case example. Twenty chronically depressed patients, 20 healthy controls and 16 psychoanalysts participated in the project on research. Results show a clear influence of the neurobiological study on the course of treatments. Patients consistently reported that study participation had a positive impact on their treatment experiences. However, study participation was conflictual for the psychoanalysts and forced them to carefully reflect on their unconscious and conscious involvement to establish a psychoanalytic stance independent from empirical research.     

Motor execution affects action prediction

Previous studies provided evidence of the claim that the prediction of occluded action involves real-time simulation. We report two experiments that aimed to study how real-time simulation is affected by simultaneous action execution under conditions of full, partial or no overlap between observed and executed actions. This overlap was analysed by comparing the body sides and the movement kinematics involved in the observed and the executed action. While performing actions, participants observed point-light (PL) actions that were interrupted by an occluder, followed by a test pose. The task was to judge whether the test pose depicted a continuation of the occluded action in the same depth angle. Using a paradigm proposed by Graf et al., we independently manipulated the duration of the occluder and the temporal advance of the test pose relative to occlusion onset (occluder time and pose time, respectively). This paradigm allows the assessment of real-time simulation, based on prediction performance across different occluder time/pose time combinations (i.e., improved task performance with decreasing time distance between occluder time and pose time is taken to reflect real-time simulation). The PL actor could be perceived as from the front or back, as indicated by task instructions. In Experiment 1 (front view instructions), evidence of action simulation was obtained for partial overlap (i.e., observed and performed action corresponded either in body side or movement kinematics), but not for full or no overlap conditions. The same pattern was obtained in Experiment 2 (back view instructions), ruling out a spatial compatibility explanation for the real-time pattern observed. Our results suggest that motor processes affect action prediction and real-time simulation. The strength of their impact varies as a function of the overlap between observed and executed actions.     

Ethical Leadership: An Integrative Review and Future Research Agenda

Over the past decade, ethical leadership has increasingly become one of the most popular topics in the areas of leadership and business ethics. As a result, there now exists a substantial body of empirical research addressing ethical leadership issues, but the findings reported by this body of research are highly fragmented. The topic has advanced to the stage where a review and synthesis of existing literature can provide great value and help move the scholarly conversation forward. The primary purposes of this article are to (a) review empirical findings from the ethical leadership literature utilizing a framework consisting of the antecedents, mediators, moderators and outcomes of ethical leadership, and (b) suggest a set of interesting research opportunities, thereby facilitating future investigation. We base our synthesis on a review of 62 empirical studies on ethical leadership that were published between 2005 and mid-2015.     

Guidelines to Integrate Spirituality and Spiritual Care in Occupational Therapy Education: A Modified Delphi Study

This modified Delphi study aimed to develop educational guidelines for integrating spirituality and spiritual care into occupational therapy education. The first round comprised a self-administered questionnaire, the second round used a face-to-face workshop, and last round reviewed the developed educational guidelines, which reached the highest agreement and median values greater than 3.25. A panel of 18 comprised occupational therapy educators, clinicians, and nursing experts were recruited. A total of 126 out of 142 items reached the highest agreements from the panel participants, categorized based on the content knowledge-based, importance, skills, ethics, pedagogical approaches, teaching and learning strategies, and assessment of student learning.     

A virtual reality scenario for all seasons: the virtual classroom

Treatment and rehabilitation of the cognitive, psychological, and motor sequelae of central nervous system dysfunction often relies on assessment instruments to inform diagnosis and to track changes in clinical status. Typically, these assessments employ paper-and-pencil psychometrics, hands-on analog/computer tests, and rating of behavior within the context of real-world functional environments. Virtual reality offers the option to produce and distribute identical "standard" simulation environments in which performance can be measured and rehabilitated. Within such digital scenarios, normative data can be accumulated for performance comparisons needed for assessment/diagnosis and for treatment/rehabilitation purposes. In this manner, reusable archetypic virtual environments constructed for one purpose can also be applied for applications addressing other clinical targets. This article will provide a review of such a retooling approach using a virtual classroom simulation that was originally developed as a controlled stimulus environment in which attention processes could be systematically assessed in children with attention-deficit/hyperactivity disorder. This system is now being applied to other clinical targets including the development of tests that address other cognitive functions, eye movement under distraction conditions, social anxiety disorder, and the creation of an earthquake safety training application for children with developmental and learning disabilities.     

Safety Engineering for Artificial General Intelligence

Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, we challenge the scientific community to develop intelligent systems that have human-friendly values that they provably retain, even under recursive self-improvement.